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differentiation-schemes

0 stars 0 forks Updated Dec 24, 2025
44.6

Select and apply numerical differentiation schemes for PDE/ODE discretization. Use when choosing finite difference/volume/spectral schemes, building stencils, handling boundaries, estimating truncation error, or analyzing dispersion and dissipation.

#order#error#Central#accuracy#truncation error
Also in: github ci cd networking

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Installation

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skilz install HeshamFS_materials-simulation-skills/differentiation-schemes
skilz install HeshamFS_materials-simulation-skills/differentiation-schemes --agent opencode
skilz install HeshamFS_materials-simulation-skills/differentiation-schemes --agent codex
skilz install HeshamFS_materials-simulation-skills/differentiation-schemes --agent gemini

First time? Install Skilz: pip install skilz

Works with 14 AI coding assistants

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Download Skill ZIP

Extract and copy to ~/.claude/skills/ then restart Claude Desktop

1. Clone the repository:
git clone https://github.com/HeshamFS/materials-simulation-skills
2. Copy the skill directory:
cp -r materials-simulation-skills/skills/core-numerical/differentiation-schemes ~/.claude/skills/
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Need detailed installation help? Check our platform-specific guides:

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Details

Owner
HeshamFS
Repository
materials-simulation-skills
Stars
0
Forks
0
Type
Technical
Meta-Domain
productivity
Primary Domain
excel
Sub-Domain
formulas product
Skill Size
42.2 KB
Files
8
Quality Score
44.6

AI-Detected Topics

Extracted using NLP analysis

order error Central accuracy truncation error

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